Private Mobile Networks: From Smart Operations to Physical AI

This session explores in detail how Private Mobile Network provides a high-performance wireless foundation for smart production and digital-driven operations. It will explain the technical capabilities that make Private Network relevant for industrial environments, including low latency, high reliability, seamless mobility, network slicing and edge integration.

Another focus of this session will be on the strong security needs of enterprises and look in details of ZTNA architectures in Private Mobile Network systems.

An important part on the evolution toward Physical AI: AI systems that do not only analyse data, but perceive, decide, and act in the physical world through machines, robots, vehicles, and industrial assets. In this context, Private Network acts as a critical enabler by connecting sensors, edge compute, AI models, control systems, and mobile assets in a secure and resilient way.

The presentation will describe how production environments can move from basic connectivity to closed-loop, AI-assisted and eventually autonomous operations.

Sigma Technology brings end-to-end delivery capability from network design and integration to deployment and ongoing operations in complex industrial environments.

Attendees will gain a technical understanding of where Private Network fits in the industrial connectivity landscape and how it can support a scalable roadmap from smart, cyber-secure production to AI-enabled physical operations.

Key Takeaways

- Why Private Mobile Network is becoming relevant for industrial digitalization
- How it supports cybersecurity (ZTNA approach) in smart operations
-The role of Private Mobile Network, edge computing, and AI in enabling Physical AI
- Practical considerations for deployment, integration, cybersecurity, and scaling
- Showcase of end-user devices, devices and 5G displays and ties it all together